An approach for the prioritization of wind energy production farms
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, a hierarchical decision making framework based on multi-criteria decision making approach is presented to prioritize the wind energy production farms located in Mediterranean sea region of Turkey. Some criteria such as economic, technical, and environmental are considered for the evaluation model. In addition, an artificial neural network (ANN) model based on back propagation neural network (BPN) is also used to assess the alternative sites for wind energy generation. A comparison between proposed approaches is made to select the most appropriate wind energy production farm. It is found that the results obtained from ANN model and fuzzy analytical hierarchy process (FAHP) approach are similar. Moreover, Anamur district is the best area among the alternatives for establishing wind turbines in Mediterranean sea region of Turkey. The originality of the paper comes from the application of the proposed FAHP approach to the selection of the best wind energy production site and the comparison with ANN. © Sila Science.
Açıklama
Anahtar Kelimeler
Artificial neural network, Fuzzy analytical hierarchy process, Wind energy, Artificial neural network models, Back-propagation neural networks, Evaluation modeling, Fuzzy analytical hierarchy process, Hierarchical decisions, Multi-criteria decision making, Wind energy generation, Wind energy production, Decision making, Neural networks, Site selection, Wind power
Kaynak
Energy Education Science and Technology Part A: Energy Science and Research
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
31
Sayı
3
